Hierarchical Bayesian Analysis of Correlated Zero‐inflated Count Data
- 14 December 2004
- journal article
- research article
- Published by Wiley in Biometrical Journal
- Vol. 46 (6) , 653-663
- https://doi.org/10.1002/bimj.200310077
Abstract
This article presents two‐component hierarchical Bayesian models which incorporate both overdispersion and excess zeros. The components may be resultants of some intervention (treatment) that changes the rare event generating process. The models are also expanded to take into account any heterogeneity that may exist in the data. Details of the model fitting, checking and selecting alternative models from a Bayesian perspective are also presented. The proposed methods are applied to count data on the assessment of an efficacy of pesticides in controlling the reproduction of whitefly.Keywords
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